from torch.utils.data import Dataset
from PIL import Image

import os

class MyData(Dataset):

    def __init__(self, root_dir, label_dir):
        self.root_dir = root_dir
        self.label_dir = label_dir
        self.path = os.path.join(self.root_dir, self.label_dir)
        # 获得所有图片的地址
        self.img_path = os.listdir(self.path)

    def __getitem__(self, indx):
        img_name = self.img_path[indx]
        img_item_path = os.path.join(self.root_dir, self.label_dir, img_name)
        img = Image.open(img_item_path)
        label = self.label_dir
        return img, label

    def __len__(self):
        return len(self.img_path)




root_dir = r"F:\86135\Documents\Sign_Language\dataset\train"
ants_label_dir = "ants"
bee_label_dir = "bees"

ants_dataset = MyData(root_dir, ants_label_dir)
bees_dataset = MyData(root_dir, bee_label_dir)
train_dataset = ants_dataset + bees_dataset